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3 years ago

11

At the bottom of this page, the footnote explains the social security tax rate for 2011. How much was it for a self-employed ind

ividual

1 answer:

Alex17521 [72]3 years ago

6 0

Look at the bottom of the page, the answer is there. At least that's what the question says.

You might be interested in

What is the measure of angle 7?

Ratling [72]

m<1 = m<4 by vertical angles theorem

3x + 10 = 4x - 15

-1x = -25

x = 25

m<1 + m<7 = 180 if parallel alternate interior angles supplementary

3x + 10 + m<7 = 180

3(25) + 10 + m<7 = 180

75 + m<7 = 180

m<7 = 105°

Hope this helps! ;)

8 0

2 years ago

A diver begins at 150 feet below sea level, descends at a steady rate of 5 feet per minute for 3.5 minutes, and then ascends 122

marusya05 [52]

Start at -150, then add 3(-5), then add 122.2. -150 + 3(-5) + 122.2 = -45.3

3 0

3 years ago

Read 2 more answers

Which set of data has the strongest linear association

Bad White [126]

It would be the bottom right because it’s closest to a line

7 0

3 years ago

Victoria went shopping for ingredients to make a stew.The table shows the weight and cost of each of the ingredients that she bo

djverab [1.8K]

Answer:

a) the beef cost the most

b) $125.8

Step-by-step explanation:

A) 1.2 potatoes

1.8 carrots

2.39 beef

.5 peppers

B) 15.30-.5=14.80 x 8.5=<u>125.8</u>

7 0

3 years ago

The management of a relatively new social networking website named BooglePlus is conducting a pilot study comparing use of its o

zavuch27 [327]

Answer:

0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x

Step-by-step explanation:

Given the data in the question;

sample size n = 28

slope of the least squares regression line of y on x or sample estimate = 0.0623

standard error = 0.0224

95% confidence interval

level of significance ∝ = 1 - 95% = 1 - 0.95 = 0.05

degree of freedom df = n - 2 = 28 - 2 = 26

∴ the equation will be;

⇒ sample estimate ± ( t-test) ( standard error )

⇒ sample estimate ± ( $t_{\alpha /2, df$ ) ( standard error )

⇒ sample estimate ± ( $t_{0.05 /2, 26$ ) ( standard error )

⇒ sample estimate ± ( $t_{0.025, 26$ ) ( standard error )

{ from t table; ( $t_{0.025, 26$ ) = 2.055529 = 2.056

so we substitute

⇒ 0.0623 ± ( 2.056 )( 0.0224 )

Therefore, 0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x

5 0

3 years ago